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Artificial intelligence for public health can harness data for healthier populations

Nature Health volume 1, pages 167–170 (2026)Cite this article

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By focusing on large-scale data analysis and population-wide interventions, artificial intelligence in public health offers new strategic approaches to disease surveillance, health promotion and policymaking.

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Fig. 1: Applications of AI in health.
Fig. 2: From public health to AI design.

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Authors and Affiliations

  1. Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore

    Mengling Feng, Swapnil Mishra, Jingying Ma & Li Yang Hsu

  2. Institute of Data Science, National University of Singapore, Singapore, Singapore

    Mengling Feng & Swapnil Mishra

  3. Department of Computer Science, University of Oxford, Oxford, UK

    Seth Flaxman

  4. Department of Public Health, Section for Health Data Science and AI, University of Copenhagen, Copenhagen, Denmark

    Samir Bhatt

  5. School of Life Course & Population Sciences, King’s College London, London, UK

    Josip Car

  6. School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China

    Tien Yin Wong

  7. Beijing Visual Science and Translational Eye Research Institute (BERI), Beijing Tsinghua Changgung Hospital Eye Center, Tsinghua Medicine, Tsinghua University, Beijing, China

    Tien Yin Wong

  8. Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore

    Tien Yin Wong

Authors
  1. Mengling Feng
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  2. Swapnil Mishra
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  3. Jingying Ma
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  4. Seth Flaxman
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  5. Samir Bhatt
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  6. Josip Car
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  7. Li Yang Hsu
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  8. Tien Yin Wong
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Corresponding author

Correspondence to Tien Yin Wong.

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The authors declare no competing interests.

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Feng, M., Mishra, S., Ma, J. et al. Artificial intelligence for public health can harness data for healthier populations. Nat. Health 1, 167–170 (2026). https://doi.org/10.1038/s44360-025-00005-w

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